Explainable Attention-Guided Stacked Graph Neural Networks for Malware Detection 事件

Explainable Attention-Guided Stacked Graph Neural Networks for Malware Detection arXiv:2508.09801v3 Announce Type: replace-cross Abstract: Malware detection in modern computing environments demands models that are not only accurate but also interpretable and robust to evasive techniques. Graph neural networks (GNNs) have shown promise in this domain by modeling rich structural dependencies in graph-based program representations such as control flow graphs (CFGs). However, single-model approache